About The Position

The Supply Chain Forecasting Lead will lead the functional aspects of a forecasting engagement, from initial assessment through solution implementation. The role works with the customer to agree on forecasting requirements, process changes, and expected outcomes, and provides functional input into solution design, including data and integration requirements. The position calls for approximately 10–15 years of experience, a strong background in demand forecasting, business process improvement, and forecasting solution implementation, as well as experience evaluating and implementing forecasting tools and solutions.

Requirements

  • Approximately 10–15 years of experience.
  • Strong background in demand forecasting, business process improvement, and forecasting solution implementation.
  • Hands-on experience understanding and mapping existing forecasting processes, identifying gaps, and working with business teams on process improvement and reengineering.
  • Strong experience in business requirements gathering, solution analysis, functional design, and implementation.
  • Good understanding of forecasting approaches and ability to assess which approaches suit different business requirements.
  • Experience evaluating, performing fit-gap analysis for, and implementing forecasting tools and solutions such as SAP IBP, Oracle, Blue Yonder, o9, or similar platforms.
  • Exposure to AI/ML-based forecasting and experience working alongside data science and technical teams.
  • Experience handling large volumes of transactional data, understanding data dependencies, and working with enterprise applications.

Responsibilities

  • Understand and map existing forecasting processes, identify gaps, and work with business teams on process improvements and reengineering.
  • Gather business requirements and perform solution analysis, functional design, and implementation.
  • Assess forecasting approaches and determine what may work best for different business requirements.
  • Lead the functional aspects of the forecasting engagement, from initial assessment through solution implementation.
  • Work with the customer to agree on forecasting requirements, process changes, and expected outcomes.
  • Evaluate solution options and provide functional input to solution design, including data and integration requirements.
  • Review and validate the forecasting solution against business scenarios, including the quality and reliability of forecasting outputs.
  • Perform gap analysis between expected and actual forecasting results and recommend actions.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service